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A response time-based mixture item response theory model for dynamic item-response strategies
Sijia Huang1, Jinwen Luo2, Minjeong Jeon2
1School of Education, Indiana University Bloomington, 201 N. Rose Ave, Bloomington, 47405, IN, USA. sijhuang@iu.edu.
Behavior Research Methods
|January 9, 2025
Summary
This study introduces a new response time (RT)-based mixture item response theory (IRT) model to flexibly analyze how students switch between ability-based and non-ability-based strategies during assessments, inferring strategy nature from model parameters.
Area of Science:
- Educational Measurement
- Psychometrics
- Cognitive Psychology
Background:
- Examining student response strategies is crucial in educational research.
- Mixture item response theory (IRT) models are commonly used to study these strategies.
Purpose of the Study:
- To introduce a novel response time (RT)-based mixture IRT model.
- To flexibly model examinee- and item-specific response strategies, including within-examinee strategy switches.
Main Methods:
- Developed a response time (RT)-based mixture IRT model.
- The model infers the nature of non-ability-based strategies from parameter estimates.
- Applied the model to PISA 2018 Science test data and conducted simulation studies.
Main Results:
- The proposed model effectively identifies within-examinee strategy switches.
- Demonstrated the model's flexibility in capturing diverse item-response strategies.
- Empirical and simulation results support the model's utility.
Conclusions:
- The RT-based mixture IRT model offers a flexible approach to understanding examinee strategies.
- Future research should explore limitations and further applications of this modeling technique.
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